15 accepted papers
Earbuds are instrumental in health monitoring but the orientation can variate among users, which may significantly impact the health-monitoring system generalizability. To study the effect of earbuds orientation heterogeneity and align kinematics across earbuds orientations, we collected a dataset w…
This study evaluates the usability of wearable head ballistocardiography (BCG) in providing accurate pulse transit time (PTT) measurements during blood pressure (BP) interventions. Head BCG is a new technique enabling measurement of proximal aortic blood ejection from sensors placed at distal sites,…
Cardiac Output (CO) is a critical indicator of health, offering insights into cardiac dysfunction, acute stress responses, and cognitive decline. Traditional CO monitoring methods, like impedance cardiography, are invasive and impractical for daily use, leading to a gap in continuous, non-invasive m…
The earbud-based ballistocardiogram (BCG) assessment holds significant promise for monitoring diverse physiological signals, including stress, cardiac activity, and blood pressure. However, unlike traditional methods that measure the force component along the head-to-foot axis for enhanced BCG signa…
Stress can potentially have detrimental effects on both physical and mental well-being, but monitoring it can be challenging, especially in free-living conditions. One approach to address this challenge is to use earbud accelerometers to capture the ballistocardiogram (BCG) response. These sensors a…
Core body temperature (CBT) is one of the critical yet under-explored phenomena in the context of stress detection. Several CBT measurement methods exist, but they are often limited in continuous CBT monitoring. Furthermore, how continuous CBT can be used to model acute stress is little explored. We…
Camera-based pulse measurements from remote photoplethysmography (rPPG) have rapidly improved over recent years due to innovations in video processing and deep learning. However, modern data-driven solutions require large training datasets collected under diverse conditions. Collecting such training…
Consumer hearable technologies such as earbuds are increasingly embedding physiological sensors, including photoplethysmography (PPG) and inertial measurements. They create unique opportunities to passively monitor stress and deliver digital interventions such as music. However, PPG signals recorded…
Camera-based respiratory monitoring is contactless, non-invasive, unobtrusive, and easily accessible compared to conventional wearable devices. This paper presents a novel multimodal approach to estimating breathing rate based on tracking the movement and color changes of the face through an RGB cam…
The accurate estimation of peripheral capillary oxygen saturation (SpO <inf xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">2</inf> ) is vital for monitoring respiratory health, with applications spanning medical diagnostics and fitness tracking. Remote phot…
Breathing Inhale/Exhale (IE) ratio is one of the critical breathing biomarkers for pulmonary patients and healthy individuals. It can indicate the severity of lung obstruction for chronic lung patients and help detect psycho-social stress for healthy individuals. With the advancement of wearable tec…
This paper presents algorithms to improve the estimation of heart rate (HR) and heart rate variability (HRV) from smartphone video. The remote photoplethysmogram (rPPG) signals are first extracted from the videos recorded. Next, we proposed an rPPG filter adaptively tuned by HR and respiratory rate…
Mouth breathing has been linked to a variety of negative health outcomes, including sleep-related disorders and dental problems. Detecting mouth breathing in the daily environment could be helpful for early intervention and reversing the negative impact. However, existing research has not adequately…
Persistent coughs are a major symptom of respiratory-related diseases. Increasing research attention has been paid to detecting coughs using wearables, especially during the COVID-19 pandemic. Microphone is most widely used sensor to detect coughs. However, the intense power consumption needed to pr…
Lung health assessment is traditionally done mainly through X-ray images and spirometry tests which are time-consuming, cumbersome, and costly. In this paper, we investigate the potential of passively recordable contents such as speech, cough and heart signal for such an assessment. Our regression m…